EVOLUTION OF INVESTMENT FLOWS IN U.S. MANUFACTURING:A SPATIAL PANEL APPROACH

The paper starts with a discussion of a conceptual model of location factors in U.S. manufacturing investment at the state level. The purpose of the paper is to test the relative importance of growth factors influencing investment and whether or not they have changed in importance over time. These factors include agglomeration, market structure, labor, infrastructure, and fiscal policy. A better understanding of investment flows in the manufacturing sector will help determine how growth factors have changed over time and which economic development policies may be most appropriate at targeting the sector. The analysis covers the time period 1994 to 2006 for the 48 contiguous states, with data taken from the Annual Survey of Manufactures, the Bureau of Economic Analysis, and the Bureau of Labor Statistics. Panel methods are used to test for fixed effects due to heterogeneity across states. Spatial panel methods with time effects are used for determination and specification of spatial and temporal effects. Empirical results are consistent across the empirical models put forth. Results suggest that market demand remains one of the most important location factors of manufacturing investment. Investment also goes to states with more productive labor and localized agglomeration of manufacturing activity.manufacturing, investment, location factors

DETERMINANTS OF INVESTME??T FLOWS IN U.S. MANUFACTURING

The purpose of the paper is to test the long-run steady state of growth factors hypothesized to influence U.S. manufacturing investment flows. These factors include agglomeration, market structure, labor, infrastructure, and fiscal policy. Spatial cross-regressive and spatial Durbin models are used to measure the spatial interaction of investment flows. Spatial spillovers are found to be of a competitive nature at the state level, implying that a factor which attracts more investment to a particular state is associated with lower investments in neighboring states. Investment flows to states with higher market demand, more productive labor, and more localized agglomeration of manufacturing activity.manufacturing, investment, spatial Durbin model

DEVELOPMENT OF A STOCHASTIC MODEL TO EVALUATE PLANT GROWERS' ENTERPRISE BUDGETS

Increased domestic concentration and international competition in the floricultural industry are forcing growers to improve resource management efficiency. Cost management and cost accounting methods are becoming key tools as growers attempt to reduce costs. These tools allow growers to allocate costs for each crop, increasing their greenhouse planning abilities. Growers have a relative high degree of risk due to potential crop and market failure. Individual growers have different tolerance for risk and risk bearing capacity. Growers need a cost accounting system that incorporates production and market risk, a system that allows them to make informed business decisions. The research reported in this paper developed a greenhouse budgeting model that incorporated risk to allow growers to compare production costs for flowers with different genetics and production technologies. This enables greenhouse growers to make production management decisions that incorporate production and market risk. The model gives growers the option of imputing their own production data to evaluate how various yield and price assumptions influence income and expense projections, and ultimately, profit. The model allows growers to compare total production cost and revenue varying grower type, production time, geographical location, operation size, and cost structure. The model evaluates budgets for growers who market to mass-market retail operations or wholesale intermediaries who sell to merchandisers or flower shops distribution channels. The model was demonstrated with sample data to illustrate how incorporating risk analysis into a grower's greenhouse budget model effects resource allocation and production decisions as compare to a budget model that does not incorporate risk. Deterministic and stochastic models were used to demonstrate differences in production decisions under various assumptions. The stochastic model introduced prices and flowering characteristics variability. The @Risk software was used to generate the random number simulation of the stochastic model, and stochastic dominance analysis was used to rank the alternatives. The result for both the deterministic and stochastic models identified the same cultivar as most profitable. However, there were differences in crop profits levels and rankings for subsequent cultivars that could influence growers' production choice decisions. The grower's risk aversion level influenced his/her choice of the most profitable cultivars in the stochastic model. The model summarizes the sources of variability that affect cost and revenue. The model enables the grower to measure effects that change in productivity might have on profit. Growers can identify items in their budget that have a greater effect on profitability, and make adjustments. The model can be used to allocate cost across activities, so the grower would be able to measure the economic impact of an item on the budget.Crop Production/Industries,

The evolution of a state-wide continuing education programme for allied health professionals

Allied health professionals require continuing education (CE) to maintain and improve competencies and standards of care. Research suggests that professional access to CE in rural areas can be difficult.This article uses an action research framework to describe the development and implementation of a CE programme for allied health professionals in a rural area in Australia, and its subsequent evolution into a state-wide programme. To evaluate programme relevance, attendance and perceived clinical relevance, physiotherapists (n&thinsp;=&thinsp;75) in southwest Victoria were surveyed 1year after commencement of a CE programme. A secondary outcome was the perceived effect on clinical practice.More than two-thirds (68.6%) of physiotherapists attended at least one workshop, 57.2% attended four or more sessions and 22.9% attended at least one of the two conducted courses over the period. In addition, 20% of the physiotherapists perceived that attending the programme had a large positive effect on their therapeutic skills, whereas 68.6% reported some effect. From a regional CE programme for physiotherapists the programme evolved into a state-wide programme for 22 allied health professions.<br /

Addressing evidence treatment gaps for cardiovascular disease through primary care collaboration

Aims &amp; Rationale/ObjectivesThe aim is to establish the frequency of counselling by general practitioners (GPs) and community pharmacists (CPs) for patients with uncontrolled CVD risk factors. This will identify conditions for which CPs might collaborate with GPs in addressing evidence-treatment gaps.MethodsA population survey undertaken in the Wimmera region of Victoria in 2006. 1425 adults aged 25-84 yrs were randomly selected using age/sex stratified electoral role samples. A representative 723 participants were recruited.Principal FindingsData on GP and CP visits were available for 694 participants. Overall, participants visited GPs 4.6 times and CPs 6.0 times/annum. However, one third of participants never consulted a pharmacist in 12 months compared to just 11.5% for GPs. Among obese patients (BMI ?? 30), the average number of visits/annum was 4.5 to GPs and 6.8 to CPs. The equivalent numbers were 5.6 and 8.6 respectively for those with systolic BP ?? 140 mmHg; 3.7 and 5.5 for total cholesterol &gt; 5.0 mmol/L; and, 6.7 and 14.6 for patients with random blood glucose concentrations ?? 7.0 mmol/L.ImplicationsPeople with suboptimal status for most common CVD risk factor are counselled frequently by CPs. A coordinated approach with GPs to the delivery of cardiovascular health promotion could provide valuable reinforcement of key messages and offers greater opportunity to identify at-risk individuals. Acknowledgements: KM is a pharmacist-academic at Greater Green Triangle UDRH, a position funded by the Department of Health and Ageing through the Rural and Remote Pharmacy Workforce Development Program<br /

An international survey of health literacy education within schools of pharmacy

Background: Health literacy (HL) influences patients&rsquo; health status, use of the healthcare system and medication-relatedbehaviours. However, the concept is relatively new to pharmacy and its incorporation in academic curricula has notbeen examined.Aims: To explore HL training in pharmacy schools internationally, and academics&rsquo; opinions in regards to how it shouldbe taught and assessed.Methods: An anonymous, online survey was administered to academics who teach within pharmacy degree coursesfrom countries where English is the main language.Results: Responses were received from 21 pharmacy schools in seven countries; 20 stated that HL was taught withintheir pharmacy degree, in four as a stand-alone topic. Small-group tutorials were thought to be the most beneficial formof teaching health literacy, best assessed using oral and objective structured clinical examinations.Conclusion: The majority of pharmacy schools taught health literacy and had similar opinions regarding best practiceteaching and assessment

Evaluation of a community pharmacy-based intervention for improving patient adherence to antihypertensives: a randomised controlled trial

BackgroundThe majority of patients using antihypertensive medications fail to achieve their recommended target blood pressure. Poor daily adherence with medication regimens and a lack of persistence with medication use are two of the major reasons for failure to reach target blood pressure. There is no single intervention to improve adherence with antihypertensives that is consistently effective. Community pharmacists are in an ideal position to promote adherence to chronic medications. This study aims to test a specific intervention package that could be integrated into the community pharmacy workflow to enable pharmacists to improve patient adherence and/or persistence with antihypertensive medications - Hypertension Adherence Program in Pharmacy (HAPPY).Methods/DesignThe HAPPY trial is a multi-centre prospective randomised controlled trial. Fifty-six pharmacies have been recruited from three Australian states. To identify potential patients, a software application (MedeMine CVD) extracted data from a community pharmacy dispensing software system (FRED Dispense&reg;). The pharmacies have been randomised to either \u27Pharmacist Care Group\u27 (PCG) or \u27Usual Care Group\u27 (UCG). To check for \u27Hawthorne effect\u27 in the UCG, a third group of patients \u27Hidden Control Group\u27 (HCG) will be identified in the UCG pharmacies, which will be made known to the pharmacists at the end of six months. Each study group requires 182 patients. Data will be collected at baseline, three and six months in the PCG and at baseline and six months in the UCG. Changes in patient adherence and persistence at the end of six months will be measured using the self-reported Morisky score, the Tool for Adherence Behaviour Screening and medication refill data.DiscussionTo our knowledge, this is the first research testing a comprehensive package of evidence-based interventions that could be integrated into the community pharmacy workflow to enable pharmacists to improve patient adherence and/or persistence with antihypertensive medications. The unique features of the HAPPY trial include the use of MedeMine CVD to identify patients who could potentially benefit from the service, control for the \u27Hawthorne effect\u27 in the UCG and the offer of the intervention package at the end of six months to patients in the UCG, a strategy that is expected to improve retention.Trial RegistrationAustralian New Zealand Clinical Trial Registry ACTRN12609000705280<br /

Evolution of the Most Massive Galaxies to z=0.6: I. A New Method for Physical Parameter Estimation

We use principal component analysis (PCA) to estimate stellar masses, mean stellar ages, star formation histories (SFHs), dust extinctions and stellar velocity dispersions for ~290,000 galaxies with stellar masses greater than $10^{11}Msun and redshifts in the range 0.4<z<0.7 from the Baryon Oscillation Spectroscopic Survey (BOSS). We find the fraction of galaxies with active star formation first declines with increasing stellar mass, but then flattens above a stellar mass of 10^{11.5}Msun at z~0.6. This is in striking contrast to z~0.1, where the fraction of galaxies with active star formation declines monotonically with stellar mass. At stellar masses of 10^{12}Msun, therefore, the evolution in the fraction of star-forming galaxies from z~0.6 to the present-day reaches a factor of ~10. When we stack the spectra of the most massive, star-forming galaxies at z~0.6, we find that half of their [OIII] emission is produced by AGNs. The black holes in these galaxies are accreting on average at ~0.01 the Eddington rate. To obtain these results, we use the stellar population synthesis models of Bruzual & Charlot (2003) to generate a library of model spectra with a broad range of SFHs, metallicities, dust extinctions and stellar velocity dispersions. The PCA is run on this library to identify its principal components over the rest-frame wavelength range 3700-5500A. We demonstrate that linear combinations of these components can recover information equivalent to traditional spectral indices such as the 4000A break strength and HdA, with greatly improved S/N. This method is able to recover physical parameters such as stellar mass-to-light ratio, mean stellar age, velocity dispersion and dust extinction from the relatively low S/N BOSS spectra. We examine the sensitivity of our stellar mass estimates to the input parameters in our model library and the different stellar population synthesis models.Comment: 20 pages, 18 Figures, submitted to MNRA

A measurement of the millimetre emission and the Sunyaev-Zel'dovich effect associated with low-frequency radio sources

We present a statistical analysis of the millimetre-wavelength properties of 1.4GHz-selected sources and a detection of the Sunyaev–Zel’dovich (SZ) effect associated with the haloes that host them. We stack data at 148, 218 and 277GHz from the Atacama Cosmology Telescope at the positions of a large sample of radio AGN selected at 1.4GHz. The thermal SZ effect associated with the haloes that host the AGN is detected at the 5σ level through its spectral signature, representing a statistical detection of the SZ effect in some of the lowest mass haloes (average M 200 ≈ 10 13 M. h −1 70 ) studied to date. The relation between the SZ effect and mass (based on weak lensing measurements of radio galaxies) is consistent with that measured by Planck for local bright galaxies. In the context of galaxy evolution models, this study confirms that galaxies with radio AGN also typically support hot gaseous haloes. Adding Herschel observations allows us to show that the SZ signal is not significantly contaminated by dust emission. Finally, we analyse the contribution of radio sources to the angular power spectrum of the cosmic microwave background